基于RBF的城市快速路交通异常事件自动检测算法分析

Analysis on Radial Basis Function for Urban Expressway of Automatic Traffic Incidents Detection Algorithm

通过对城市快速路交通异常事件自动检测方法的分析,提出用MATLAB神经网络工具箱建立交通异常事件自动检测RBF模型,并通过采集的实测交通异常事件数据对RBF神经网络在自动检测算法中进行仿真研究。结果表明RBF神经网络算法具有检测率高、误报率低和检测速度快等优点。

After analyzing the method of automatic detection on traffic abnormal incidents for urban expressway,this paper established a RBF neural network model based on MATLAB neural network toolbox.Then through using the field traffic incidents date,the radial basis function（RBF）neural network algorithm applied and researched on automatic incident detection.Simulation result shows its advantages,such as its higher detection rate,lower false alarm rate and shorter mean detection time.